A secure image cryptosystem via multiple chaotic maps

Wazi, Mayada T.; Ali, Dalia S.; Al-Saidi, Nadia M. G.; Alawn, Nawras A.

doi:10.1142/s179383092150141x

Cited by 8 publications

(3 citation statements)

References 44 publications

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“…Iterative chaotic mapping is characterized by strong chaos and pseudo-randomness. Compared with the initialization strategy of randomly generating the initial position, iterative chaotic mapping can make the population more evenly distributed in the search space [30]. If a population has n individuals, then the random initial population X = {x ,...,x ,...,x }, k∈ [1, n], and the mathematical expression is as follows:…”

Section: Improved Arithmetic Optimization Algorithm Based On Iterativ...mentioning

confidence: 99%

Underwater Image Color Constancy Calculation with Optimized Deep Extreme Learning Machine Based on Improved Arithmetic Optimization Algorithm

Yang

Chen

et al. 2023

Electronics

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To overcome the challenges posed by the underwater environment and restore the true colors of marine objects’ surfaces, a novel underwater image illumination estimation model, termed the iterative chaotic improved arithmetic optimization algorithm for deep extreme learning machines (IAOA-DELM), is proposed. In this study, the gray edge framework is utilized to extract color features from underwater images, which are employed as input vectors. To address the issue of unstable prediction results caused by the random selection of parameters in DELM, the arithmetic optimization algorithm (AOA) is integrated, and the search segment mapping method is optimized by using hidden layer biases and input layer weights. Furthermore, an iterative chaotic mapping initialization strategy is incorporated to provide AOA with a better initial search proxy. The IAOA-DELM model computes illumination information based on the input color vectors. Experimental evaluations conducted on actual underwater images demonstrate that the proposed IAOA-DELM illumination correction model achieves an accuracy of 96.07%. When compared to the ORELM, ELM, RVFL, and BP models, the IAOA-DELM model exhibits improvements of 6.96%, 7.54%, 8.00%, and 8.89%, respectively, making it the most effective among the compared illumination correction models.

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Section: Improved Arithmetic Optimization Algorithm Based On Iterativ...mentioning

confidence: 99%

Underwater Image Color Constancy Calculation with Optimized Deep Extreme Learning Machine Based on Improved Arithmetic Optimization Algorithm

Yang

Chen

et al. 2023

Electronics

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“…Chaotic maps are studied today as one of the most powerful tools in cryptography [36]. Sensitivity to initial conditions and sensitivity to control parameters in chaotic maps are the main reasons for choosing these maps as the central pillar of encryption algorithms [37].…”

Section: Introductionmentioning

confidence: 99%

A novel multi-stable sinusoidal chaotic map with spectacular behaviors

Ali,

Sriram,

Natiq

et al. 2023

Commun. Theor. Phys.

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Chaotic behavior can be observed in continuous and discrete-time systems. This behavior can appear in one-dimensional nonlinear maps; however, having at least three state variables in flows is necessary. Due to the lower mathematical complexity and computational cost of maps, lots of research has been conducted based on them. This paper aims to present a novel one-dimensional trigonometric chaotic map that is multi-stable and can act attractively. The proposed chaotic map is first analyzed using a single sinusoidal function; then, its abilities are expanded to a map with a combination of two sinusoidal functions. The stability conditions of both maps are investigated, and their different behaviors are validated through time series, state space, and cobweb diagrams. Eventually, the influence of parameter variations on the maps’ outputs is examined by one-dimensional and two-dimensional bifurcation diagrams and Lyapunov exponent spectra. Besides, the diversity of outputs with varying initial conditions reveals this map's multi-stability. The newly designed chaotic map can be employed in encryption applications.

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“…Some emerging technologies, such as chaotic systems, are considered a suitable choice for constructing secure encryption algorithms [1][2][3][4][5]. This is due to their promising features, namely, ergodicity, unpredictability, sensitivity to the initial condition, and generating random-like behavior sequences.…”

Section: Introductionmentioning

confidence: 99%

Secure Optical Communication Using a New 5D Chaotic Stream Segmentation

Al-Saidi¹,

Ali²,

Al-Azzawi³

et al. 2022

IJSDP

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According to its complex properties like ergodicity, unpredictability, and sensitivity to its initial states, chaotic systems are ‎attracting more and more attention and are widely used for security purposes. Moreover, ‎the chaotic signals are considered suitable for spread spectrum modulation due to their wideband properties. It is able to reduce the peak to average ‎power ratio (PAPA). This paper presents a new Dynamic Diffeo-Difference Multi-Dimensional (DDD-MD) system. It is used as ‎a key for a new cryptosystem designed based on the chaotic stream segmentation (CSS) method. The proposed ‎system provides the best trade-off between efficiency, robustness, and high data rate transmission. The behavior of the ‎proposed chaotic system is evaluated numerically by analyzing the Lyapunov exponent spectrum, complexity, and attractor ‎phase diagram. Besides, it is practically assessed based on the principle of system ‎circuit design; the circuit diagram of the system is prepared and simulated by Multisim, which shows high consistency with ‎the numerical simulation. These evaluations show that the proposed system has a rich dynamics behavior to be realized in ‎an encryption system and provides a foundation for many engineering and physical applications‎.

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A secure image cryptosystem via multiple chaotic maps

Cited by 8 publications

References 44 publications

Underwater Image Color Constancy Calculation with Optimized Deep Extreme Learning Machine Based on Improved Arithmetic Optimization Algorithm

Underwater Image Color Constancy Calculation with Optimized Deep Extreme Learning Machine Based on Improved Arithmetic Optimization Algorithm

A novel multi-stable sinusoidal chaotic map with spectacular behaviors

Secure Optical Communication Using a New 5D Chaotic Stream Segmentation

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